Fanfan Ye

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 18 citations into it

Whom Fanfan Ye trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. L. Eon Bottou
2. C. Li
3. Amir Shahroudy
4. Yifan Zhang
5. Jun Liu
6. Lu Xia
7. Raviteja Vemulapalli
8. Sijie Yan
9. Zhe Cao
10. Jianfang Hu

Who trusts Fanfan Ye overall

1. Yisheng Song
2. Yuxin Chen
3. Zhang Zhang

Papers from Fanfan Ye's perspective

Ordered by how strongly the researchers Fanfan Ye trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition (2020) — 348 citations